DTU Winter Academy
Essentials for Leaders of the Future
#Leadership, #Sustainability #Innovation #Technology
How far can we decrease emissions by enabling data-intelligent and integrated energy systems for the future smart society?
Intended Audience
Non-specialists and decision makers dealing with sustainable solutions, utility services & smart citites - such as public authorities, utility companies of all kinds, municipalities, politicians, lobbyists, NGO networks and startups. No engineering background is required.
Module Description
An efficient and successful integration of large scale intermittent energy sources like wind and solar energy calls for a rethinking of the design and operation of energy systems and their interaction with other sectors of a modern society. Current energy systems where production is following the demand will change to a system where the demand must follow production. Solutions will be found in a decentralized system, where a large number of units ensure a stable energy supply. Obviously, this calls for a focus on knowledge on how to describe and materialize the energy flexibility at all levels of the energy system. This calls for a paradigm shift towards integrated energy systems powered by renewable energy sources, digitalization and data intelligence.
This module will focus on methods for integration of large fractions of wind and solar power into future data-intelligent and integrated energy systems. Use of machine learning (AI), big data analytics, marked mechanisms, forecasting, modelling and control of essential energy technologies are core elements of the module.
We will also describe the need for new markets and mechanisms for energy trading in order to unlock the needed flexibility.
Here are some of the questions this module will explore:
- How to enable and utilize digitalization of the smart grids?
- How can we unlock the flexibility needed for a large scale integration of wind and solar power?
- How to design energy markets and intelligence for incentivising smartness?
- How to design the optimal regulatory framework?
- How to facilitate the best energy technologies in a smart grid context?
- How to accelerate the transition to a low-carbon society?
- Can energy in Denmark be fossil-free in 2035/2050?
The module will address the stated questions and provide some insights to inspire you.
Faculty
Henrik Madsen is head of Center for IT-Intelligent Energy Systems at DTU Compute, and he is leading a number of other projects related to smart grids and data-driven energy systems. He was appointed Professor in Mathematical Statistics at the Technical University of Denmark in 1999. In 2017 Henrik was appointed Professor II at NTNU in Trondheim. His main interests are related to data-intelligent and integrated energy systems. He has authored about 600 scientific papers and 12 books. He co-authored the Springer book ‘Integrating Renewables in Electricity Markets’ (2013), and he is a member of the steering board of Center Denmark with the ambition to establish a national Digitalization Hub for data-driven and integrated energy systems aiming at accelerating the transition to a low-carbon society paved by green innovation. He is a leading member of European Energy Research Alliance JP on Energy Systems Integration and a special editor on the IEEE Transactions on Power Systems: ‘Towards a 100 pct Renewable Energy System’.
Jacob Østergaard is head of Center for Electric Power and Energy at DTU Electrical Engineering with approximately 100 staff members. Research focus is on development of the future sustainable intelligent energy system with increased environmental friendly generation including wind energy. This includes integration of different energy infrastructures into a single coherent energy system. The ambition is to offer innovative technological solutions using new technology within data, IT, communication and power and energy enabling a green growth to the benefit of the society and the industry. Jacob is member of the Danish government's Energy Commission.
Faculty is extended by research colleagues from DTU Compute: Lasse Engbo Christiansen, Peder Bacher, Jan Kloppenborg Møller, Yelena Vardanyan, Armin Ghasem Azar, Davide Cali, Rune Grønborg Junker, Sebastian Wolf- and DTU Electrical Engineering: Pierre Pinson, Spyros Chatzivasileiadis, Chresten Træholt, Jalal Kazempour.
Price
Incl. teaching material and lunch
DKK 9.800 excl. VAT
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